Collected, stored, and useless: The lifecycle of most customer data

Customer data often becomes ineffective not because organizations lack it, but because disconnected systems leave it siloed, duplicated, stale, and unavailable during customer interactions. Based on a survey of 660 business leaders, 99% report barriers to understanding customers, with 48% identifying cross-channel data connection as the main obstacle. Separate support, analytics, commerce, phone, chat, and email platforms can create fragmented customer profiles, while delayed batch updates give AI and human agents outdated context that contributes to repeated questions, failed issue resolution, and declining satisfaction. Although many brands report that their AI can recognize returning customers and access history, far fewer design interactions to personalize responses using that information. The proposed solution is to reduce the distance between data capture and use through real-time synchronization, identity resolution, and cross-channel orchestration, with Twilio Conversations and Conversation Memory presented as tools for maintaining customer context across communications.

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